Arkadiusz Gertych

发表

Integration of computer assisted bone age assessment with clinical PACS.

Fei Cao, Ewa Pietka, Sylwia Pospiech-Kurkowska, 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Abstract B094: Quantitative digital image analysis and machine learning for staging of prostate cancer at diagnosis

Arkadiusz Gertych, Fangjin Huang, Nathan Ing, 2018 .

Automatic recognition of abnormal cells in cytological tests using multispectral imaging

Arkadiusz Gertych, S. Bose, G. Galliano, 2010, Medical Imaging.

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, 2018, Future Gener. Comput. Syst..

Computer-Assisted Bone Age Assessment: Graphical User Interface for Image Processing and Comparison

H. K. Huang, Fei Cao, Ewa Pietka, 2004, Journal of Digital Imaging.

Remotely accessible e-atlas for bone age assessment

Ewa Pietka, Arkadiusz Gertych, Krzysztof Witko, 2005 .

Features of DNA Signals Codistribution in High-Content Screening of Drug-Induced Demethylation in Cancer Cells

Arkadiusz Gertych, A. Gertych, Arkadiusz Gertych, 2012, ITIB.

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides

Malgorzata Lorent, Tomasz Markiewicz, Arkadiusz Gertych, 2019, ITIB.

A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma

Karolina Nurzynska, Tomasz Markiewicz, Arkadiusz Gertych, 2020, Medical Imaging: Digital Pathology.

Basic Probability Assignment Calculation in Diagnosis Support

Ewa Straszecka, Sylwia Pospiech-Kurkowska, Arkadiusz Gertych, 2000 .

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images

Wenyuan Li, Arkadiusz Gertych, Shiwen Shen, 2019, IEEE Transactions on Medical Imaging.

Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones

Aifeng Zhang, Arkadiusz Gertych, Brent J. Liu, 2007, Comput. Medical Imaging Graph..

Is Greulich and Pyle atlas still a good reference for bone age assessment?

Arkadiusz Gertych, Hao Huang, Bo Liu, 2007, SPIE Medical Imaging.

A deep convolutional neural network model to classify heartbeats

U. Rajendra Acharya, Arkadiusz Gertych, Yuki Hagiwara, 2017, Comput. Biol. Medicine.

Editorial: Special issue on advances in biomedical image processing

Ewa Pietka, Arkadiusz Gertych, E. Pietka, 2018, Comput. Medical Imaging Graph..

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Comput. Biol. Medicine.

Image-assisted knowledge discovery and decision support in radiation therapy planning

Arkadiusz Gertych, Jorge Documet, Brent J. Liu, 2007, Comput. Medical Imaging Graph..

Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction

H. K. Huang, Fei Cao, Ewa Pietka, 2001, IEEE Transactions on Medical Imaging.

Image database for digital hand atlas

Fei Cao, Ewa Pietka, Arkadiusz Gertych, 2003, SPIE Medical Imaging.

A Machine Learning Approach to Identify Prostate Cancer Areas in Complex Histological Images

Arkadiusz Gertych, Zhaoxuan Ma, Sadri Salman, 2014 .

Characterization of tumor cells and stem cells by differential nuclear methylation imaging

Daniel L. Farkas, Arkadiusz Gertych, Erik H. Lindsley, 2008, SPIE BiOS.

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance

Marcin Grzegorzek, Ewa Pietka, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Machine learning approaches to analyze histological images of tissues from radical prostatectomies

Arkadiusz Gertych, Thomas J. Fuchs, Nathan Ing, 2015, Comput. Medical Imaging Graph..

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies

Arkadiusz Gertych, Corey W. Arnold, Beatrice S. Knudsen, 2017, AMIA.

The development of an MRI lesion quantifying system for multiple sclerosis patients undergoing treatment

Kevin Ma, Paymann Moin, Brent Liu, 2009, Medical Imaging.

A deep multiple instance model to predict prostate cancer metastasis from nuclear morphology

Max Welling, Jakub M. Tomczak, Arkadiusz Gertych, 2018 .

Semantic segmentation for prostate cancer grading by convolutional neural networks

Arkadiusz Gertych, Corey W. Arnold, Nathan Ing, 2018, Medical Imaging.

Carpal bone analysis in bone age assessment

H. K. Huang, Aifeng Zhang, Arkadiusz Gertych, 2006, SPIE Medical Imaging.

Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas

Arkadiusz Gertych, Nathan Ing, Beatrice S. Knudsen, 2016, ITIB.

An attention-based multi-resolution model for prostate whole slide imageclassification and localization pdf

Arkadiusz Gertych, William Speier, Corey W. Arnold, 2019, ArXiv.

A CAD system for assessment of MRI findings to track the progression of multiple sclerosis

Arkadiusz Gertych, Bing Guo, Brent J. Liu, 2007, SPIE Medical Imaging.

Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment

Ewa Pietka, Arkadiusz Gertych, Brent J. Liu, 2006, Pattern Analysis and Applications.

Bone age assessment for young children from newborn to 7-year-old using carpal bones

Aifeng Zhang, Brent Liu, Arkadiusz Gertych, 2007, SPIE Medical Imaging.

U. Raghavendra, U. Rajendra Acharya, Sulatha V. Bhandary, 2018, Future Gener. Comput. Syst..

Computer Automated Approach to the Extraction of Epiphyseal Regions in Hand Radiographs

H. K. Huang, Fei Cao, Ewa Pietka, 2001, Journal of Digital Imaging.

Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

U. Rajendra Acharya, Oliver Faust, Arkadiusz Gertych, 2020, Applied Sciences.

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies

Arkadiusz Gertych, William Speier, Corey W. Arnold, 2018, Comput. Medical Imaging Graph..

Quantitative assessment of multiple sclerosis lesion load using CAD and expert input

Arkadiusz Gertych, Brent J. Liu, Alexis Wong, 2008, SPIE Medical Imaging.

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features

U. Rajendra Acharya, Chai Hong Yeong, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest

H. K. Huang, Ewa Pietka, Arkadiusz Gertych, 2005, CORES.

Bone age assessment of children using a digital hand atlas

H. K. Huang, Aifeng Zhang, Sylwia Pospiech-Kurkowska, 2007, Comput. Medical Imaging Graph..

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies

Arkadiusz Gertych, Nathan Ing, Hootan Salemi, 2018, ITIB.

Foreword to the special issue on Information Technologies in Biomedicine

Ewa Pietka, Arkadiusz Gertych, 2016, Comput. Biol. Medicine.

Informatics infrastructure of CAD system.

Ewa Pietka, Arkadiusz Gertych, Krzysztof Witko, 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Data mining and visualization of average images in a digital hand atlas

Bo Liu, Aifeng Zhang, Arkadiusz Gertych, 2005, SPIE Medical Imaging.

Multi-Patch Blending improves lung cancer growth pattern segmentation in whole-slide images

Arkadiusz Gertych, Francesco Ciompi, Zaneta Swiderska-Chadaj, 2020, 2020 IEEE 21st International Conference on Computational Problems of Electrical Engineering (CPEE).

Rapid 3-D delineation of cell nuclei for high-content screening platforms

Arkadiusz Gertych, Zhaoxuan Ma, Beatrice S. Knudsen, 2016, Comput. Biol. Medicine.

A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides

Malgorzata Lorent, Tomasz Markiewicz, Bartlomiej Grala, 2017, MIUA.

Color Normalization Approach to Adjust Nuclei Segmentation in Images of Hematoxylin and Eosin Stained Tissue

Arkadiusz Gertych, Adam Piórkowski, 2018, ITIB.

Automated bone age assessment of older children using the radius

Arkadiusz Gertych, Brent J Liu, Sinchai Tsao, 2008, SPIE Medical Imaging.

A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues

Karolina Nurzynska, Arkadiusz Gertych, Mu Yang, 2020, Comput. Medical Imaging Graph..

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques

U. Rajendra Acharya, Kwan Hoong Ng, Chai Hong Yeong, 2017, Comput. Biol. Medicine.

Advances in biomedical image processing

Ewa Pietka, Arkadiusz Gertych, E. Pietka, 2021, Comput. Medical Imaging Graph..

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues

Tomasz Markiewicz, Arkadiusz Gertych, Zaneta Swiderska-Chadaj, 2021, Comput. Medical Imaging Graph..

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

Tomasz Markiewicz, Arkadiusz Gertych, Nathan Ing, 2019, Scientific Reports.

Automated Detection of Dual p16/Ki67 Nuclear Immunoreactivity in Liquid-Based Pap Tests for Improved Cervical Cancer Risk Stratification

Arkadiusz Gertych, Ann E. Walts, Anika O. Joseph, 2012, Annals of Biomedical Engineering.

Spatial Mapping of Myeloid Cells and Macrophages by Multiplexed Tissue Staining

Arkadiusz Gertych, Fangjin Huang, Beatrice S. Knudsen, 2018, Front. Immunol..

Computerized delineation of nuclei in liquid‐based Pap smears stained with immunohistochemical biomarkers

Arkadiusz Gertych, Ann E Walts, Beatrice S Knudsen, 2014, Cytometry. Part B, Clinical cytometry.

Measuring topology of low-intensity DNA methylation sites for high-throughput assessment of epigenetic drug-induced effects in cancer cells.

Arkadiusz Gertych, Jian Tajbakhsh, Daniel L Farkas, 2010, Experimental cell research.